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Single Image Defogging Method Using Variational Approach for Edge-Preserving Regularization

Authors: Soon-Young Park, Wan-Hyun Cho, In-Seop Na, Seong-ChaeSeo, Sang-Kyoon Kim


In this paper, we propose the variational approach to solve single image defogging problem. In the inference process of the atmospheric veil, we defined new functional for atmospheric veil that satisfy edge-preserving regularization property. By using the fundamental lemma of calculus of variations, we derive the Euler-Lagrange equation foratmospheric veil that can find the maxima of a given functional. This equation can be solved by using a gradient decent method and time parameter. Then, we can have obtained the estimated atmospheric veil, and then have conducted the image restoration by using inferred atmospheric veil. Finally we have improved the contrast of restoration image by various histogram equalization methods. The experimental results show that the proposed method achieves rather good defogging results.

Keywords: Transmission, Image Enhancement, variational approach, image restoration, Image defogging, Atmospheric veil, Euler-Lagrange equation

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